AndreaBozzo/ceres-open-data-index huggingface dataset:
SOP for determination of dry matter content

[Lien vers la fiche source] Moisture content affects the processability, shelf-life, usability and overall quality of a product as well as its sensorial properties. Accurate moisture content determination, therefore, plays a crucial role in ensuring quality as it affects processing, packaging and final product quality. Thermogravimetric methods which involve moisture loss through heating might render the samples not suitable for further analysis as other vital ingredients may have been lost in the process. This SOP is applicable for RTB products wet or dry samples.
Gendered Food Mapping Data on Gari and Eba generated by NRCRI in Nigeria

[Lien vers la fiche source] This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the NRCRI team in Nigeria on Gari and Eba, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Climatic dataset from PROINPA, Khipakhipani, La Paz, Bolivia, 2022

[Lien vers la fiche source] This dataset corresponds to climate data for the year 2022 at Fundación PROINPA, Khipakhipani, La Paz, Bolivia. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column indicates the date and time in UTC and the second column the measurement made (column names are visible in the header). The measurements were made using a BME680 type sensor calibrated with a DS18B20 temperature probe, and connected to a Raspberry Pi. The dataset includes basic graphical visualizations. More information can be found here: [https://pi2p.ird.fr/]
Climatic dataset from ICIPE, Nairobi, Kenya, 2022

[Lien vers la fiche source] This dataset corresponds to climate data for the year 2022 at ICIPE, Nairobi, Kenya. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column indicates the date and time in UTC and the second column the measurement made (column names are visible in the header). The measurements were made using a BME680 type sensor calibrated with a DS18B20 temperature probe, and connected to a Raspberry Pi. The dataset includes basic graphical visualizations. More information can be found here: [https://pi2p.ird.fr/]
Coastal Vulnerability: Perception survey in Anlo Beach (Ghana), 2021

[Lien vers la fiche source] The vulnerability of coastal territories has multiple dimensions, making it difficult to assess. One way of collecting data about the vulnerability of coastal areas is to interview people living on the coast. These communities have information on the coastal phenomena that occur on their territory and on the evolution over time of the frequency, intensity, and speed of progression of the pressures and pulses affecting them. They are the first observers of these phenomena. They are also the ones who suffer the consequences first, and who are most able to provide information on the impacts of coastal hazards on their territory. People living on the coast are also actors in their territory, where they carry out activities and development practices. Coastal communities, which are the focus of our survey, can therefore play four roles in the vulnerability of coastal socio-ecosystems: observers, impacted victims, agents of degradation, and agents of remediation. The consideration of these four roles is the basis for designing the current survey. The questionnaire is designed to be administered in several areas of the West African coastline. It is simple, accessible, and portable. In addition, it covers the major hazards, which are salinization, coastal erosion, flooding, plastic pollution, and oil pollution for cases in Senegal and Ghana. The second dimension that structured the questionnaire is an in-depth description of these major hazards. Thus, the questionnaire is designed as an appropriate tool for vulnerability assessment. A pilot survey was conducted in the Anlo Beach community in the Western Region of Ghana to obtain information on risk perceptions. The survey targeted a sample of 156 respondents, with each respondent being an adult member (generally husband or wife) of a given household. To get the sample of households, a systematic sampling of every 5th household within the list of 740 enumerated households was carried out to ensure that the results that will be obtained from our survey will approximate what would have been obtained if the entire population had been surveyed. The interviews were conducted face-to-face in September and October 2021. Kobocollect software, installed on mobile phones, was used to conduct the interview. In most cases, responses provided to the questionnaire were used directly as binary or multi-modal variables.
Documents and rules that apply to the territorial management of Tracuateua, Caeté-Taperaçu and Araí-Peroba Marine Extractive Reserves, Pará, Brazil

[Lien vers la fiche source] In these documents (Plano de Uso, Instruções Normatias, Portaria, Lei estadual, Contrato de Concessão de Direito Real de Uso) are the formal rules that regulate the access and use of the natural resources of the territory of the Marine Extractive Reserves of Tracuateua, Caeté-Taperçu and Araí-Peroba, located in the Brazilian Amazon, specifically in the mangroves of the coastal zone of Pará. These documents are public and their access is supported by the Federal Law Lei de acesso à informação no. 12.527, de 18 de novembro de 2011).
ASSET Practical Lexicon: An agroecology lexicon in Vietnam

[Lien vers la fiche source] The overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology. In this context, a joint workshop ASSET-ALiSEA was organized by GRET and CIRAD in Vietnam the 30th of November 2022. An agroecology lexicon composed of 19 concepts and 175 terms was constructed in the context of this workshop. This lexicon could be used for the knowledge hub associated with the ASSET Project. This dataset contains: - A presentation that summarizes the results of this workshop - The agroecology theoretical lexicon (TL) with terms validated - The agroecology practical lexicon (PL) co-constructed in Vietnam Results: - Theoretical lexicon (TL): 16 concepts with 331 terms - 76 terms manually validated in the Workshop - Practical lexicon (PL) constructed in Cambodia: 16 concepts (+ 3 concepts associated with the farming systems) with 175 terms. 68 terms come from the theoretical lexicon.
High-resolution water level and discharge measurements from the Saigon-Dong Nai estuary system, Vietnam, 2022

[Lien vers la fiche source] Water level and discharge data contribute to environmental protection and help management agencies with a more reliable forecasting of river water levels and better decision making by researchers and policy makers regarding urban flooding and dam management. Water level measurements were performed at 5 locations in the Saigon river branch and at 2 locations in the Dong Nai river branch between October 21st, 2022 and December 16th, 2022. We performed barometric compensation, identify and correct of out-of-water instances using temperature and pressure readings and quadratic interpolation. Discharge measurements were performed at 2 locations in the Saigon river and 1 location in the Dong Nai river. We use the free, open-source QrevInt software for post-processing and quality control and obtain mean discharge, mean width and mean river cross-section. The uncertainty in discharge is computed using the OURSIN framework.
PADI-web corpus used for the EpidBioELECTRA approach

[Lien vers la fiche source] This dataset contains a set of news articles in English related to animal disease outbreaks, that have been used to train and evaluate EpidBioELECTRA epidemiological classifier and explainer. It is composed of 70,707 articles in csv format found in several folders (relevant folder contains 34,015 news articles labelled relevant, while irrelevant folder contains 36,692 irrelevant articles), with information about the article itself (publication date, title, content, url, etc.). Thematic feature folder contains relevant and irrelevant labelled thematic features (disease, host, location, cases, etc) as contained in relevant and irrelevant documents by sentence id organized in year and month of the article. These labels were machine generated by PADIWeb classifier.
ASSET Practical Lexicon: An agroecology lexicon in Laos

[Lien vers la fiche source] The overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology. In this context, a joint workshop ASSET-ALiSEA was organized by GRET and CIRAD in Laos the 30th of November 2022. An agroecology lexicon composed of 18 concepts and 261 terms was constructed in the context of this workshop. This lexicon could be used for the knowledge hub associated with the ASSET Project. This dataset contains: - A presentation that summarizes the content of this workshop and the method used to construct these agroecology lexicons - The agroecology theoretical lexicon (TL) with terms validated - The agroecology practical lexicon (PL) co-constructed in Laos Results: - Theoretical lexicon (TL): 16 concepts with 331 terms - 138 terms manually validated in the Workshop - Practical lexicon (PL) constructed in Laos: 18 concepts with 157 terms. 107 terms come from the theoretical lexicon.
ASSET Practical Lexicon: An agroecology lexicon in Cambodia

[Lien vers la fiche source] The overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology. In this context, a joint workshop ASSET-ALiSEA was organized by GRET and CIRAD in Cambodia the 24th of November 2022. An agroecology lexicon composed of 20 concepts and 261 terms was constructed in the context of this workshop. This lexicon could be used for the knowledge hub associated with the ASSET Project. This dataset contains: - A presentation that summarizes the content of this workshop and the method used to construct these agroecology lexicons - The agroecology theoretical lexicon (TL) with terms validated - The agroecology practical lexicon (PL) co-constructed in Cambodia Results: - Theoretical lexicon (TL): 16 concepts with 331 terms - 210 terms manually validated in the Workshop - Practical lexicon (PL) constructed in Cambodia: 16 concepts (+ 4 concepts associated with the farming systems) with 261 terms. 181 terms come from the theoretical lexicon.
Virtual water level stations in the Amazon floodplains measured by radar echoes classification

[Lien vers la fiche source] This dataset was obtained using altimetry data, from CTOH (Center for Topographic studies of the Ocean and Hydrosphere, [http://ctoh.legos.obs-mip.fr/]), of the ENVISAT (2002-2010) and SARAL (2013-2016) satellite missions acquired over the Curuai floodplain along the Amazon and the Jurua watershed. The dataset contains classification results of radar altimetry echoes performed with the unsupervised K-means method (netCDF4 files) with each satellite missions (ENV for ENVISAT and SRL for SARAL) based on echo backscatter and normalized water height (sh) parameters. For each area, four classes were created to best represent the different hydrological regimes in the Amazon without over-interpreting radar echoes. The four classes are rated from 0 to 3. Class 0 is very often located on open water (lakes or rivers); on the contrary, class 3 is mainly located in non-flooded areas (not used here). Classes 1 and 2 correspond to intermediate hydrological environment such as permanently or seasonally flooded and seasonally or infrequently flooded, respectively. For each cluster of echoes classified in the same class along an altimetric track, a station is created containing the time series of local water level variation (.txt files). This is an important densification of water level information in the Amazon floodplains.
Benefit-risk associated with the consumption of fish bycatch from tropical tuna fisheries (Seychelles, 2018): sample fish data

[Lien vers la fiche source] This dataset compiles the data used in the paper ["Benefit-risk associated with the consumption of fish bycatch from tropical tuna fisheries”]. The study aimed to assess the nutritional value of 20 pelagic fish species belonging to 10 families and caught as bycatch in tropical tuna fisheries from the western Indian Ocean. We focused on their beneficial contents in proteins, fats and essential omega-3, and considered also the omega-6/omega-3 ratio and mercury content. The benefit-risk assessment used a hazard quotient for three people categories: young children, children and adults. The influence of fish length on the nutritional composition of muscle was also assessed. The dataset provides total mercury, EPA+DHA and protein concentrations for 175 fish individuals of 20 species taken as bycatch in tropical tuna fisheries of the western Indian Ocean, and landed in Seychelles in 2018 (18 fishing dates/geographical positions). It is made of 175 rows, corresponding to fish individuals, and 24 columns presenting samples' ID, taxonomic rank, scientific name, sampling date and coordinates, individual fork length and weight, sex, individual total mercury, protein, EPA and DHA concentrations. Sample collection and analytical methods are presented in the corresponding paper.
Replication Data for: "Phosphorus sorption capacity and availability along a toposequence of agricultural soils: distinct effects of soil type and decadal fertilizer applications"

[Lien vers la fiche source] Dataset of the paper entitled "Phosphorus sorption capacity and availability along a toposequence of agricultural soils: distinct effects of soil type and decadal fertilizer applications". Five field trials where mineral and organic fertilizers were applied for a decade along a toposequence (two andosols, one andic cambisol, one nitisol and one arenosol) were investigated. Legacy phosphorus (i‧e. phosphorus accumulated in soil with fertilizer applications minus phosphorus lost by plant uptake, erosion and leaching) was used to study the effect of fertilizer application rate. Phosphorus availability was determined by classic extractions and by the diffusive gradients in thin films technique. The solid-solution partitioning coefficient of inorganic phosphorus was determined to assess the soil Pi sorption capacity.
WAT4CAM - Households socio-economic survey data in Battambang and Preah Vihear province (Cambodia) 2020

[Lien vers la fiche source] This dataset contains thirteen csv files including households’ answers to the WAT4CAM survey (2019-2020) in two Cambodian provinces and two text file presenting a more detailed description and the questionnaire content. Ce jeu de données contient treize fichiers csv comprenant les réponses des ménages à l'enquête WAT4CAM (2019-2020) dans deux provinces cambodgiennes et deux fichiers texte présentant une description plus détaillée et le contenu du questionnaire.
Land use land cover high resolution map (10 m) for the area of Tori-Bossito, Benin, 2010-2011

[Lien vers la fiche source] This dataset is a high spatial resolution Land Use / Land Cover (LULC) map of the region of Tori-Bossito, southern Benin. Its spatial resolution is 10 m. It was produced in 2011 and made available for a wide range of uses. It has been produced to study the environmental determinants of the presence and abundance of three malaria mosquito species. It contains 14 land cover classes: Freshwater, Herbswamp, Aquatic grassland, Coco tree, Eucalyptus tree, Thicket, Palm tree, Savanna, Teak tree, Pineapple, Degraded riparian forest, Degraded surfaces, Rain-fed agriculture, Forest. The method used to generate the map involved a supervised object-based image classification using mono- and multi-spectral SPOT 5 satellite products from 2010, ground-truth data (> 200 plots) acquired by fieldwork (2010-2011), and nearest-neighbor classifier. The classification accuracy was 98%. In addition to the LULC georeferenced raster data, we propose the following files in this release: * the raster attribute table, as an .ods (libreoffice) file, including names and definitions of the land cover classes in both English and French ; * a QGIS layer style file (.qml) for visualizing the raster in QGIS ; * two color map files (.clr) (English and French) to be used in a variety of GIS software. * the map as a .png miniature image ; * representative pictures of the land cover classes ; The methodology used to generate the data was detailed in french in Moiroux 2012 ([https://theses.hal.science/tel-00812118], p. 79-85 ) and in English, in a more concise way in Moiroux et al. 2013 ([ https://doi.org/10.1186/1756-3305-6-71]).
Participatory Processing Data on Eba generated by NRCRI in Nigeria

[Lien vers la fiche source] This dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the NRCRI team in Nigeria on Eba, within the RTBfoods project following the[Methodological Guidance]. This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Participatory Processing Data on Fufu generated by NRCRI in Nigeria

[Lien vers la fiche source] This dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the NRCRI team in Nigeria on Fufu, within the RTBfoods project following the [methodological Guidance]. This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
NIRS Database on Dried Grounded Cassava Flour for Ash & Protein at IITA, Nigeria

[Lien vers la fiche source] The cassava flour database consists of 260 spectra data collected using the benchtop FOSS Near Infrared Spectrometer (NIRS) with serial number 3013-0857. The spectra comprise 130 cassava flour scanned in duplicate. The Spectra data were collected in IITA, Nigeria, in the year 2019/2020. The fresh roots were washed and dried with a paper towel to remove dirt and cut longitudinally into four sections. The two adjacent sections were pulled and cut into small chips, and then the chips were dried in the Oven at 600C for 72hrs. The dried chips were milled to flour. The spectra data were collected using the developed SOP by the RTBfoods project.
NIRS Database on fresh blended cassava for Dry Matter & Starch at IITA, Nigeria

[Lien vers la fiche source] Cassava samples were harvested in Ibadan at 8/25/2021 (20 genotypes) and in Ikenne at 8/27/2021 (6 genotypes). Fresh cassava roots were blended and spectra data collected following this procedure. DM and starch were also analyzed in the laboratory after scanning
NIRS Database on yam flour for protein, starch & sugar at INRAe, Guadeloupe

[Lien vers la fiche source] This work is based on Yam genotypes cultivated at CIRAD Roujol and INRAe Godet & Duclos between 2016 and 2018. A total of 258 samples were analysed twice in NIRS and twice in laboratory for starch, protein et sugar contents. The total number of spectra is 516 and the total number of data is 1032 (spectra + reference data). This work is an external validation of previous models developed.
NIRS Database on cassava flour for Dry Matter, starch, amylose, amylopectin, sugar and fiber at NRCRI, Nigeria

[Lien vers la fiche source] This database contains 100 (5 clones scanned 2 times) NIR spectra of cassava flour acquired in NRCRI (Nigeria), by using ASD QualitySpec NIR spectrometer. The spectra correspond to 50 genotypes (of WP4 clones) from Advanced Yield Trial (AYT) and Uniform Yield Trial (UYT) of NEXTGEN Cassava Breeding Project (NRCRI), Umudike NIGERIA in November 10, 2021.
NIRS Database for Textural Properties of Gari-Eba at IITA, Nigeria

[Lien vers la fiche source] 30 fresh cassava genotypes were processed to gari at a laboratory scale. The gari samples were also processed to eba (a thick dough) and spectra data of each sample was collected six times( ie 30x6= 180). Texture Profile Analysis (TPA) was carried out on the samples. Spectra data of each sample were averaged and used for calibration and validation.
NIRS Database on raw intact sweetpotato at CIP, Uganda

[Lien vers la fiche source] The sweetpotatoe root samples used in this dataset were harvested in two different locations in Uganda in November 2019 (60 genotypes). Up to four sweetpotatoe roots per genotype were cut longitudinal. One spectra was taken in the center of each cut fresh root. Spectra of up to four roots per genotype were averaged to one spectra. Spectra databases are presented in two seperated sheets.
NIRS Database on wet fufu (intermediate) using portable device for DM at NRCRI, Nigeria

[Lien vers la fiche source] Fufu, a fermented wet paste food product from cassava is a good source of dietary energy and is one of the widely consumed food in Nigeria and other West African countries. A rapid and accurate method for determining dry matter (DM) content of fufu mash will be valuable for further work to be done on fufu. This data base contain the spectra of wet fufu mash samples processed from cassava genotypes harvested at NRCRI Umudike Nigeria (between August and September 2020) with the Portable/handheld NIRS (Quality SpecTrek). A total number of 540 spectra were acquired from 60 (sixty) samples of wet fufu mashes. Three different quartz cups were filled with fufu mashes (of about 8-10g) and covered with a white cover material. They were placed against the window of the portable/handheld NIRS device and spectra captured. Calibration model developed for dry matter content (DM) showed the mean and standard deviation to be 45.22 and 6.9 respectively with the standard error of laboratory at 0.79. A SOP on the protocol for the determination of DM on wet fufu mash using a handheld NIRS has been linked to this database. The ASD hand-held NIRS was acquired by NRCRI (National Root Crops Research Institute) Umudike Nigeria in the year 2016.